I am Michael (Nolting). This website/blog is mostly meant to group together my thoughts and ideas about big data, machine learning, security, Automotive and hacking. Don't take some things too serious, e.g. I would never cheat my wife.

I’m an experienced data and machine learning engineer with a strong background in computer science, programming, machine learning, and statistics. My work spans the full spectrum from solving isolated data problems to building business-focused production systems that serve millions of users.

I've produced top results in various areas. I developed, for example, a web-based and mobile food diary that offers interactive tools for modern dieting and additional subscription services. It now has over 150,000 subscribers in Germany and is based on sophisticated analytics for analyzing and optimizing the users' food intake. I recently finished a 5-year-study where I could prove that users leveraging my food analytics module double their weight loss. Currently, I am trying to publish a paper with these results. Further examples include: winning a start-up contest with the idea of using pan/tilt/zoom cameras for building offline analytics systems for retailers, setting up a car fleet for Volkswagen to sample real-world data for autonomous driving, and being one of Volkswagen's lead Enterprise Architects for the Chinese market for mobile online services. I implemented various live systems that substantially increase revenue through the smart use of data. With a proven capability to work independently and in teams, lead and mentor co-workers, and communicate with both technical and non-technical stakeholders, I consistently deliver value to a variety of clients and projects. See my LinkedIn profile for more details.

After almost five years of working at Volkswagen (as a researcher and IT), I’ve decided to join Sevenval as Head of Frontend Data Analytics in early 2015. Sevenval is a mid-sized company with start-up spirit. My team developed a product in the realm of predictive analytics. We sampled large amounts of website data and linked that to the impact on the client's business. So, we found valuable information that created new use cases, improved existing processes or technologies and even drove sales. Our methods were based on machine learning algorithms for predictive modeling, anomaly detection, and optimization.

I joined Volkswagen commercial vehicles in 2016. I am heading the development of our fleet management system ConnectFleet. Currently, it's an amazing time being in the Automotive industry with all ongoing disruptions. Since I am head of my team right from the start and recruited every single person, I am very proud to be part of it. PS: We're hiring. Here you find an interview with me on the Volkswagen commercial vehicle HR website. I’ve had the chance to see our product evolve and grow until now. I’m very excited to be a part of this growth and will update on developments as they happen – watch this space.

My newest hobby project is that I am trying to disrupt the German health insurance market by building an online-programm to fight prediabetes. Prediabetes (the pre-diagnosis of type 2 diabetes) is at epidemic levels all over the world and still increasing. By 2030, 470 million people will suffer from this disease.
Lifestyle interventions can significantly counteract the risk of developing type 2 diabetes. We developed a scalable approach for lifestyle coaching by translating the American Diabetes Prevention Program into a dynamic, self-empowering, online-program, to which we have added a digital health coach. Have look at OJO if you're interested. This German video gives you a brief introduction into my co-founder's (Jan) and my idea.

I’m always happy to chat about data science, predictive modeling issues, food optimization, Automotive topics, the Berlin startup scene, and various other tech matters. If you’d like to contact me, please drop me a line via LinkedIn or Twitter.